segformer_b1_finetuned_segment_pv_p100_4batch

mouadenna/segformer_b1_finetuned_segment_pv_p100_4batch

segformer_b1_finetuned_segment_pv_p100_4batch is a image segmentation model from mouadenna. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

20% of all-time downloads

All-time downloads

Public

Parameters

13.7M

110 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors54.7 MB · 100%

At a glance

Task: Image Segmentation
Library: transformers
License: other
Model type: segformer
Access: Public
Created: Aug 1, 2024
Updated: Aug 1, 2024
SHA: 853e7763

Base models

nvidia/segformer-b1-finetuned-ade-512-512

Model card

From the Hugging Face model README

segformer_b1_finetuned_segment_pv_p100_4batch

This model is a fine-tuned version of nvidia/segformer-b1-finetuned-ade-512-512 on the mouadenna/satellite_PV_dataset_train_test_v1 dataset. It achieves the following results on the evaluation set:

Loss: 0.0072
Mean Iou: 0.8692
Precision: 0.9162

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 4e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Precision
0.4877	1.0	917	0.2178	0.5326	0.6037
0.0992	2.0	1834	0.0258	0.7353	0.7913
0.022	3.0	2751	0.0119	0.7764	0.9267
0.0106	4.0	3668	0.0084	0.8093	0.8316
0.0069	5.0	4585	0.0070	0.8327	0.8698
0.0054	6.0	5502	0.0057	0.8431	0.8829
0.0044	7.0	6419	0.0055	0.8494	0.8877
0.0039	8.0	7336	0.0059	0.8474	0.9002
0.0036	9.0	8253	0.0056	0.8505	0.8894
0.0031	10.0	9170	0.0054	0.8575	0.8994
0.0031	11.0	10087	0.0051	0.8620	0.9190
0.0027	12.0	11004	0.0053	0.8646	0.9043
0.0026	13.0	11921	0.0059	0.8643	0.9275
0.0028	14.0	12838	0.0055	0.8641	0.9131
0.0025	15.0	13755	0.0053	0.8661	0.9120
0.0023	16.0	14672	0.0056	0.8644	0.9107
0.0022	17.0	15589	0.0052	0.8668	0.9125
0.0022	18.0	16506	0.0054	0.8700	0.9143
0.0022	19.0	17423	0.0059	0.8685	0.9180
0.002	20.0	18340	0.0057	0.8696	0.9157
0.0019	21.0	19257	0.0061	0.8682	0.9136
0.0019	22.0	20174	0.0069	0.8606	0.9262
0.0019	23.0	21091	0.0062	0.8700	0.9172
0.0018	24.0	22008	0.0061	0.8682	0.9258
0.0019	25.0	22925	0.0062	0.8669	0.9124
0.002	26.0	23842	0.0065	0.8672	0.9206
0.0017	27.0	24759	0.0062	0.8688	0.9108
0.0016	28.0	25676	0.0066	0.8686	0.9154
0.0016	29.0	26593	0.0066	0.8704	0.9175
0.0016	30.0	27510	0.0068	0.8664	0.9127
0.0015	31.0	28427	0.0069	0.8679	0.9150
0.0015	32.0	29344	0.0065	0.8691	0.9196
0.0015	33.0	30261	0.0069	0.8676	0.9130
0.0014	34.0	31178	0.0067	0.8691	0.9164
0.0014	35.0	32095	0.0071	0.8679	0.9153
0.0014	36.0	33012	0.0072	0.8687	0.9127
0.0014	37.0	33929	0.0073	0.8689	0.9151
0.0014	38.0	34846	0.0069	0.8696	0.9183
0.0014	39.0	35763	0.0070	0.8694	0.9163
0.0013	40.0	36680	0.0072	0.8692	0.9162

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Task: Image Segmentation
Library: transformers
Type: segformer
License: other
Created: Aug 1, 2024
Updated: Aug 1, 2024